Daniel Robert

400 citations
31 papers · 323 · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Antimicrobial Peptides and Activities

Papers in

Daniel Robert

29 papers receiving 301 citations

Peers

Daniel Robert
Comparison fields: 5 of 65
  • Hepatology 96
  • Microbiology 23
  • Epidemiology 122
  • Ecology, Evolution, Behavior and Systematics 39
  • Molecular Medicine 10
Replace Andrés Sóyano with:
Andrés Sóyano Venezuela
Garry Lund Canada
Marion Poenisch Germany
Alfred M. Allen United States
Yicheng Huang China
Kenichiro Kashiwagi Japan
Marta A Santiago Brazil
Chao Ye China
B Hegenscheid Germany
John Weiss United States
Daniel Robert relative to Andrés Sóyano Venezuela Andrés Sóyano's profile →
Citations per field
00.5×10×
Andrés Sóyano · 1×
Citations per year

Countries citing papers authored by Daniel Robert

Since Specialization
Citations

This map shows the geographic impact of Daniel Robert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Robert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Robert more than expected).

Fields of papers citing papers by Daniel Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Robert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Robert. The network helps show where Daniel Robert may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Robert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Robert Line = papers co-authored together Daniel Robert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197687
2 199945
3 198824
4 200023
5 200919
6 200714
7 198711
8
Study of the immunogenicity of ribosomes and ribosomal RNA extracted from K. pneumoniae and S. pneumoniae.
198011
9 19989
10 19829
11 19749
12 19778
13 19817
14 19777
15 20066
16 19796
17 19826
18 19914
19 19873
20 20252

About Daniel Robert

Daniel Robert is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Epidemiology, Immunology and Plant Science, having authored 31 papers that have together received 323 indexed citations. Recurring topics across this work include Fern and Epiphyte Biology (5 papers), Plant Reproductive Biology (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Biological Activity of Diterpenoids and Biflavonoids (3 papers), RNA and protein synthesis mechanisms (3 papers), Hepatitis B Virus Studies (2 papers) and Biocrusts and Microbial Ecology (2 papers). The work is most often cited by research in Hepatology (96 citations), Microbiology (23 citations), Epidemiology (122 citations), Ecology, Evolution, Behavior and Systematics (39 citations) and Molecular Medicine (10 citations). Daniel Robert has collaborated with scholars based in France, Switzerland and Sweden. Frequent co-authors include Christian Trépo, A. M. Prince, J Motin, Christine Horlow, Juan Carlos Motamayor, Jean‐Daniel Tissot, Sophie Waldvogel, B Ivanoff, Giorgia Canellini and Hervé Fleury. Their work appears in journals such as Infection and Immunity, Frontiers in Immunology, Gut, PROTEOMICS and Journal of Plant Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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